Results 111 to 120 of about 32,830 (265)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Adaptive Multi-ROI Agricultural Robot Navigation Line Extraction Based on Image Semantic Segmentation. [PDF]
Sensors (Basel), 2022 Li X, Su J, Yue Z, Duan F.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Image Semantic Segmentation Method Based on Deep Fusion Network and Conditional Random Field. [PDF]
Comput Intell Neurosci, 2022 Wang S, Yang Y.
europepmc +1 more source
Semantic image segmentation and evaluation [PDF]
, 2019 Though quite a few image segmentation benchmark datasets have been constructed, there is no suitable benchmark for semantic image segmentation. In this thesis, we first construct a benchmark for such a purpose, where the groundtruths are generated by leveraging the existing fine granular groundtruths in the Berkeley Segmentation Dataset (BSD) as well ...
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network. [PDF]
Front Comput Neurosci, 2022 Pan L.
europepmc +1 more source
Semantic image segmentation and cosegmentation [PDF]
, 2019 DOCTOR OF PHILOSOPHY (SCE)
openaire +3 more sources
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source
Efficient Semantic Segmentation of Remote Sensing Images Through Global-Local Feature Integration
IEEE AccessThe rapid acquisition of remote sensing information plays a significant role in the development of image semantic segmentation methods for remote sensing image interpretation applications.
Fengyi Zhang, Xiuyu Xia
doaj +1 more source